Gene drives are faster, more efficient to control mosquitoes that spread malaria

NewsGuard 100/100 Score

When controlling mosquitoes that spread malaria, gene drives, which force genetic changes to proliferate in a population, are faster and more efficient than simply releasing mosquitoes that are immune to the parasite, according to a new study published December 19th in PLOS Genetics by Anthony James at University of California, Irvine and colleagues.

Gene drives are faster, more efficient to control mosquitoes that spread malaria
SEM of a mosquito (Anopheles stephensi) clearly showing the wing, proboscis, antennae, abdomen and legs. Anopheles stephensi is one of the major vectors of urban malaria in India and some parts of Asia. Malaria is caused by parasites (Plasmodium species) which enter the blood when infected mosquitoes feed. Anopheles stephensi is commonly used in research as it can be easily reared and maintained in the laboratory. Scanning electron micrograph; x 15; body length is approximately 3.6 mm. Image Credit: Lauren Holden, Wellcome Collection, CC BY

Genetic approaches are the latest strategy for controlling mosquito populations that spread the malaria parasite and viruses like dengue, chikungunya fever, yellow fever and Zika. In the lab, scientists have attempted to control the numbers of mosquitoes that can transmit these infections by introducing insects engineered to carry anti-disease genes and through gene drives, where engineered individuals also carry genes that change the rules of inheritance, increasing the odds that the changes are passed on and spread throughout the entire population.

In the current study, researchers simulated non-drive and gene-drive mosquito releases using small cage trials to explore the efficacy of delivering anti-malaria genes to a mosquito species that commonly carries the parasite. They demonstrated that both approaches are effective, but the gene drive was more efficient because it needed only a single release of a small number of insects. In contrast, the non-drive simulation required repeated, larger releases. The drive system targets a gene that affects female mosquito survival after it feeds on blood, and drove mosquito populations to extinction, except in one simulation where mutations popped up that prevented the engineered genes from being passed on effectively.

The results may seem obvious to those working in this field, but it is important to get empirical evidence to support predictions, especially in this newly-emerging science. Gene drives are expected to reduce costs of mosquito control and contribute towards the eradication of some of the vector-borne diseases. Having an effective delivery system in hand is a big step forward, now we need to make sure that the ‘cargo’, the genes that interfere with the pathogens, function as designed, and that is what we are working on now.”

Dr. Anthony James, University of California

The findings suggest that gene drives will be the most efficient and affordable genetic approach for controlling mosquito populations, assuming that they are approved for use in the wild. The study also demonstrates that preliminary laboratory cage trials can help scientists to test and improve the design of engineered insects before they are released. The researchers point out that future gene drive experiments focused on malaria prevention should also involve mosquitoes infected with the parasite to better simulate actual conditions.

Source:
Journal reference:

Pham, T.B., et al. (2019) Experimental population modification of the malaria vector mosquito, Anopheles stephensi. PLOS Genetics. doi.org/10.1371/journal.pgen.1008440.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Oxford University and Brazil partner to advance malaria vaccine development